Iguazio can not only function on cloud but also on-prem CPU/GPU servers. Data Science Platform offered by Iguazio makes a Data Scientist’s life easier by eliminating DevOps and saving them time for research, code and experimentation, all of this happens in a single-click providing you a Jupyter notebook for development. Iguazio offers a Data Layer which enables Data Engineer to collect and enrich Data from any source and ingest in real-time multi-model data at scale, including event-driven streaming, time series, NoSQL, SQL and files. Horovord is a distributed training framework that is required when it comes to utilizing multiple GPUs for a single training task. Coding on Horovord is not a simple task, this pain-point is addressed by Iguazio, they provide Horovord as a service which automates the distributed training task and lets the Data Scientist focus on improving the model and training it faster.

Iguazio delivers Kubeflow as a service which offers a simple UI thus eliminating the use of command line for Kubernetes deployment. As mentioned above, a containerised environment accelerates the workflow by eliminating DevOps. Horovord as a service automates distributed training thus accelerating the training process which sometimes takes days on a single GPU, same job could be accelerated to be finished in an hour utilizing multiple GPUs.Deployment is automated using Nuclio serverless enabling Data Scientist to deploy models and APIs from a Jupyter notebook or IDE to production in just a few clicks and continuously monitor model performance.